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Michael Kranzlein

Ph.D. Candidate
Department of Computer Science
Georgetown University
Washington, DC

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About Me

I am a Ph.D. candidate in the Department of Computer Science at Georgetown, advised by Nathan Schneider. I just wrapped up my fifth year at Georgetown and my second year as a Fritz Family Fellow. Towards the beginning of my Ph.D., I worked on projects relating to lexical semantics and semantic annotation / corpus building.

For the past couple of years as a Fritz Family Fellow, my work has focused on the language of legal interpretation. My dissertation follows this thread—it's about the metalinguistic functions of language written by the justices of the U.S. Supreme Court, with a particular focus on calibration and domain adaptation for legal language.

I hold undergraduate degrees in Computer Science and French from Belmont University and an M.S. in Computer Science from Kennesaw State University.

I'm looking to start a research position in industry around October 2023. If you'd like to get in touch, feel free to send me a message at mmk119 at georgetown(dot)edu.

Fritz Family Fellow (Summer 2021–May 2023)

In the summer of 2021, I was honored to be nominated as a Fritz Family Fellow. This fellowship is a collaborative research program at Georgetown that focuses on technology and its impacts on society. My fellowship was renewed in 2022, and I continued my work with Nathan Schneider, Kevin Tobia, and Lisa Singh to develop a first-of-its-kind corpus for studying legal metalanguage and statutory interpretation as well as accompanying transformer-based classifiers.

Internship at EY (Summer 2019)

I first got to explore my interest in legal NLP during the summer of 2019, where I worked as an AI Science Intern at EY's AI Lab alongside a talented team of research scientists and engineers in Palo Alto, CA. During my time at EY, I researched and prototyped new methods for attention-based information extraction from legal documents.

Groups

NERT (Nathan's Excellent Research Team)
GUCL (Georgetown University Computational Linguistics)
Fritz Family Fellows

Publications

2022

Stefan Gries, Michael Kranzlein, Nathan Schneider, Brian Slocum, Kevin Tobia. "Unmasking Textualism: Linguistic Misunderstanding in the Transit Mask Order Case and Beyond". Columbia Law Review Forum, 122(8). Online.

2021

Michael Kranzlein, Nelson F. Liu, Nathan Schneider. "Making Heads and Tails of Models with Marginal Calibration for Sparse Tagsets". Findings of EMNLP 2021. Punta Cana, Dominican Republic.

Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein, and Nathan Schneider. "Lexical Semantic Recognition". Workshop on Multiword Expressions at ACL-IJCNLP 2021. Virtual.

2020

Michael Kranzlein, Emma Manning, Siyao Peng, Shira Wein, Aryaman Arora, and Nathan Schneider. "PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English". Linguistic Annotation Workshop @ COLING 2020. Virtual.

Michael Kranzlein, Shabnam Behzad, and Nazli Goharian. "Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles". SemEval @ COLING 2020. Virtual.

2018

Master's Thesis
Michael Kranzlein. "A Multiple Classifier System for Predicting Best-Selling Amazon Products".

2017

Michael Kranzlein and Dan Lo. "Training on the poles for review sentiment polarity classification". 2017 IEEE International Conference on Big Data (Big Data). Boston, MA, 3934-3937.